Search bioRxiv⌕ Search

bioRxiv · 10.1101/2022.05.19.492575

Strength of selection potentiates distinct adaptive responses in an evolution experiment with outcrossing yeast

Abstract

Experimental evolution studies with sexually-reproducing populations consistently find that adaptation is highly polygenic and fueled by standing genetic variation. However, studies vary substantially with respect to other evolutionary dynamics. Resolving these discrepancies is a crucial next step as we move toward extrapolating findings from laboratory systems to natural populations. Differences in experimental parameters between studies can perhaps answer these questions, and here we assess how one such parameter - selection intensity - influences outcomes. We subject populations of outcrossing Saccharomyces cerevisiae to zero, moderate, and high ethanol stress for [~]200 generations and ask: 1) does stronger selection lead to greater changes in allele frequencies at adaptive sites; and 2) do targets of selection vary with intensity? With respects to sites with large effects, we find some evidence for positive correlations between selection intensity and allele frequency change. While we observe shared genomic responses across treatments, we also identify treatment-specific responses. Combined with evidence of phenotypic trade-offs between treatments, our findings support the hypothesis that selection intensity influences evolutionary outcomes due to pleiotropic and epistatic interactions. We conclude that it should be a major consideration when attempting to generalize inferences across studies; in other words, we argue that different intensities of selection effectively create distinct environments and genotype-by-environment interactions. Lastly, our results demonstrate the importance of clearly-defined controls in experimental evolution. Despite working with a presumably lab-adapted model system, without this element we would not have been able to distinguish genomic responses to ethanol stress from those associated with laboratory conditions.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Phillips, M. A., Briar, R. K., Scaffo, M., Zhou, S., Burke, M. K.. 2022-05-20. Strength of selection potentiates distinct adaptive responses in an evolution experiment with outcrossing yeast. https://doi.org/10.1101/2022.05.19.492575

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Transmission of mutated SARS-CoV-2 variants is favored by relatively prolonged infections due to delayed immunity

SARS-CoV-2 evolution enhanced viral fitness and immune evasion, extending the COVID-19 pandemic and resulting in millions of excess deaths. Viral diversity is generated within infected individuals, yet the timing and interplay of viral and immunological forces that drive transmissible evolution are incompletely understood. We developed a multi-scale within host phylodynamic (WiPhy) model of SARS-CoV-2 infection which couples viral replication, innate and acquired immune responses, and viral mutation. We then validated the model against quantitative viral and phylodynamic metrics. Model output predicts that typical acute infections rapidly generate genetic diversity due to accumulation of minor variants which in most cases do not achieve sufficient concentrations for transmission. Delayed innate immune responses correlate with higher peak viral load and diversification, allowing higher transmission risk of the founder virus or with a novel variant that is equally or less fit. In contrast, the risk of transmitting a fitter variant is highest during the ~10% of infections in which viral loads remain sufficiently high for transmission after 10-14 days. In these cases, non-sustained innate and/or weak acquired immune responses allow sufficient time for selection of a variant with one or more fitness enhancing non-synonymous mutations. Across a simulated cohort of ~1500 individuals, 5% of transmission risk came from variants with enhanced fitness from nonsynonymous mutations, and 13% of simulated infections accounted for 90% of fitter variant transmission risk. Our results highlight how the timing and interplay of viral and immunological forces within a host create bottlenecks that severely limit between host evolution.

evolutionary biology↗

AI-Powered Discovery of Novel RNA Viruses from the Permafrost of a 14,300-Year-Old Pleistocene Wolf

Ancient viruses preserved as molecular relics offer rare and often unpredictable insights into virus-host co-evolution and the ecological dynamics of past ecosystems. However, the recovery of ancient RNA viruses via paleotranscriptomics has remained largely unexplored, constrained by the inherent chemical instability of RNA and the lack of sensitive detection tools capable of identifying deeply divergent sequences. Here, we leveraged recent advances in artificial intelligence and high-throughput sequencing to conduct comprehensive metatranscriptomic mining of publicly available RNA-seq datasets from three ancient or extinct host species: the woolly mammoth (Mammuthus primigenius), the Tasmanian tiger (Thylacinus cynocephalus), and the gray wolf (Canis lupus). We performed sensitive homology searches using the AI-driven protein language model Lucaprot, coupled with structural validation via AlphaFold2, to screen billions of raw sequencing reads for conserved viral RNA-dependent RNA polymerase (RdRp) signature genes. Our pipeline identified two near-complete previously unknown RNA viruses in a 14,300-year-old Pleistocene wolf specimen. Phylogenetic analyses placed them within established mycovirus genera (Duamitovirus and Orthocurvulavirus), indicating they infected fungi that inhabited the carcass rather than the wolf itself. Despite deep sequence divergence from known viruses (57.6% and 60.8% RdRp amino acid identity, respectively), the catalytic A, B, and C motifs remain structurally intact. Strict authentication through multiple analyses firmly verified their ancient provenance. To our knowledge, this is the earliest documented evidence of novel RNA viruses persisting within a host-associated microbiome, extending the observed preservation timescale from centuries to over fourteen millennia. Our findings demonstrate that permafrost is a viable substrate for paleovirological discovery extending beyond the host organism and opening new opportunities for reconstructing ancient microbial and viral ecosystems.

evolutionary biology↗

Gene tree patterns help answer: vicariance or dispersal?

Historical biogeography seeks to understand the drivers of species distributions over space and time. One question of interest is how, out of many possible ways, does geography drive speciation. Vicariance, where geographic barriers arise splitting populations and limiting gene flow, can lead to allopatric speciation. Founder events, where a small number of individuals disperse over a barrier, can similarly lead to allopatric speciation if the individuals remain isolated. Both of these scenarios can lead to identical ranges of and relationships between modern species. Classic biogeographic approaches often focus on the history of populations of one or few species on shallow time scales or multiple species on deep time scales. We argue that focusing exclusively on either end of this time spectrum misses a venue for investigating the biogeographic drivers of speciation, at least for certain speciation events. With simple coalescent simulations with multiple species, we show as a proof of concept that gene tree distributions vary predictably between vicariance and founder event speciation. The existence of predictable patterns warrants the development of new approaches that capitalize the gene trees to distinguish vicariance and dispersal as drivers of speciation.

evolutionary biology↗